class_docstr: DatasetBuilder for kdd_cup_99 dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      paths = dl_manager.download(
          {
              "train": _TRAIN_URL,
              "test": _TEST_URL,
          }
      )
  
      return {
          tfds.Split.TRAIN: self._generate_examples(paths["train"]),
          tfds.Split.TEST: self._generate_examples(paths["test"]),
      }
  
file_path: datasets/tensorflow_datasets/datasets/kddcup99/kddcup99_dataset_builder.py
imports: import csv
  import gzip
  import numpy
  from tensorflow_datasets.core.utils import bool_utils
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict